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08/15/2023
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 ha...
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05/13/2023
Self-Supervised Sentence Compression for Meeting Summarization
The conventional summarization model often fails to capture critical inf...
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05/09/2023
VCSUM: A Versatile Chinese Meeting Summarization Dataset
Compared to news and chat summarization, the development of meeting summ...
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04/26/2023
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
Communication efficiency and privacy protection are two critical issues ...
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04/17/2023
A Scalable Test Problem Generator for Sequential Transfer Optimization
Sequential transfer optimization (STO), which aims to improve optimizati...
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10/24/2022
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning
Distributed stochastic gradient descent (SGD) with gradient compression ...
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10/05/2022
Hiding Images in Deep Probabilistic Models
Data hiding with deep neural networks (DNNs) has experienced impressive ...
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08/20/2022
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
The recent popularity of edge devices and Artificial Intelligent of Thin...
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08/19/2022
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation
Federated recommendation applies federated learning techniques in recomm...
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06/16/2022
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Embedding-based neural topic models could explicitly represent words and...
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05/29/2022
Learning Locality and Isotropy in Dialogue Modeling
Existing dialogue modeling methods have achieved promising performance o...
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04/11/2022
Zero-shot Cross-lingual Conversational Semantic Role Labeling
While conversational semantic role labeling (CSRL) has shown its usefuln...
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03/11/2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Contrastive learning has shown great potential in unsupervised sentence ...
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11/02/2021
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits
Communication bottleneck and data privacy are two critical concerns in f...
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09/23/2021
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
Conversational semantic role labeling (CSRL) is believed to be a crucial...
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09/13/2021
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Gradient-based training in federated learning is known to be vulnerable ...
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07/30/2021
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning
Gradient quantization is an emerging technique in reducing communication...
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05/28/2021
Domain-Adaptive Pretraining Methods for Dialogue Understanding
Language models like BERT and SpanBERT pretrained on open-domain data ha...
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05/08/2021
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
Matrix factorization is an important representation learning algorithm, ...
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04/11/2021
Conversational Semantic Role Labeling
Semantic role labeling (SRL) aims to extract the arguments for each pred...
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01/25/2021
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
The rapid growth in literature accumulates diverse and yet comprehensive...
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12/03/2020
Distributed Thompson Sampling
We study a cooperative multi-agent multi-armed bandits with M agents and...
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10/03/2020
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
For multi-turn dialogue rewriting, the capacity of effectively modeling ...
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05/14/2020
Federated Recommendation System via Differential Privacy
In this paper, we are interested in what we term the federated private b...
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12/11/2019
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks
This work is motivated by the need of collecting fresh data from power-c...
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08/04/2019
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
In this paper, we study how to collect fresh data in time-varying networ...
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07/16/2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Privacy has raised considerable concerns recently, especially with the a...
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07/05/2019
Data Encoding for Byzantine-Resilient Distributed Optimization
We study distributed optimization in the presence of Byzantine adversari...
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06/16/2019
Equivariant neural networks and equivarification
We provide a process to modify a neural network to an equivariant one, w...
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10/15/2018
Regret vs. Bandwidth Trade-off for Recommendation Systems
We consider recommendation systems that need to operate under wireless b...
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09/21/2018
Privacy in Index Coding: k-Limited-Access Schemes
In the traditional index coding problem, a server employs coding to send...
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09/12/2018
Dynamic Edge Caching with Popularity Drifting
Caching at the network edge devices such as wireless caching stations (W...
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01/11/2018
